Top Labelbox Alternatives, Competitors & Similar Software

Data Labeling Software

Scale AI Inc. is a machine learning data annotation platform that provides high-quality training data to help develop and improve artificial intelligence (AI) models. They offer a range of services including image and video annotation, natural language processing, and sensor fusion. Scale AI has received significant funding from investors and works with a number of high-profile clients in industries such as autonomous vehicles, robotics, and e-commerce.

Data Labeling Software

The company that owns datarobot.com is DataRobot Inc., a software company based in Boston, Massachusetts, USA. DataRobot provides an automated machine learning platform that helps organizations build and deploy predictive models quickly and efficiently. The platform offers a range of tools and features to help data scientists, business analysts, and other users build and deploy predictive models without needing extensive coding or machine learning expertise. DataRobot''s platform can be used to solve a range of business problems, including fraud detection, customer churn prediction, and sales forecasting, among others. The company was founded in 2012 and has since grown to become a leader in the machine learning space, with offices and customers around the world. DataRobot has been recognized for its innovative approach to machine learning and has won several awards for its platform and company culture.

Data Labeling Software

Hasty is a Vision AI company helping humans teach machines to see the world. Based in Berlin, Hasty supports Vision AI practitioners by developing best-in-class annotation tools that are supported by a community of machine learning engineers, data scientists and software developers. Hasty's next-generation annotation tool labels data in one-tenth the time through self-learning AI-assistants and agile machine learning that provides rapid feedback so engineers can validate and adapt models as they work. For more information, visit https://hasty.ai/ or follow us on Twitter @hasty_ai.